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• W2158050435 abstract "We present a new algorithm for the robust and accurate tracking of the aorta in cardiovascular magnetic resonance (MR) images. First, a rough estimate of the location and diameter of the aorta is obtained by applying a multiscale medial-response function using the available a priori knowledge. Then, this estimate is refined using an energy-minimizing deformable model which we define in a Markov-random-field (MRF) framework. In this context, we propose a global minimization technique based on stochastic relaxation, Simulated annealing (SA), which is shown to be superior to other minimization techniques, for minimizing the energy of the deformable model. We have evaluated the performance and robustness of the algorithm on clinical compliance studies in cardiovascular MR images. The segmentation and tracking has been successfully tested in spin-echo MR images of the aorta. The results show the ability of the algorithm to produce not only accurate, but also very reliable results in clinical routine applications." @default.
• W2158050435 created "2016-06-24" @default.
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• W2158050435 date "1997-01-01" @default.
• W2158050435 modified "2023-09-26" @default.
• W2158050435 title "Automatic tracking of the aorta in cardiovascular MR images using deformable models" @default.
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• W2158050435 doi "https://doi.org/10.1109/42.640747" @default.
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